Stata Technical Bulletin
13
Next we use some of the outreg options.
. outreg weight weight2 using outregl, se bdec(4) bfmt(e) tdec(3) nonotes replace
. ’more outregl.out
Mileage (mpg)
Weight (lbs.) -1.6573e-02
(3.9692e-03)**
weight2 1.5912e-06
(6.2489e-07)*
Constant 5.6539e+01
(6.1974e+00)**
Observations 74
R-squared 0.691
Finally, here is an example I used in my research which investigates the relationship of a dependent variable y on four X
variables and shows how outreg can be used to produce the kinds of tables needed in publications.
. regress y xl-x2
. outreg using table4, title(,,Three Regression Variants”)
> addnote("", ’’Run at $S_TIME, $S_DATE”, Using data from $S_FN) replace
. regress y xl-x3
. outreg using table4, append
. regress y xl x3-x4
. test x3 x4
. outreg using table4, append addstat(,'F test, χ3=x4=0,', r(F), Prob > F, r(p)) adec(2,3)
. type table4.out
|
Three |
Regression |
Variants | |
|
(1) |
(2) |
(3) | |
|
У |
У |
У | |
|
xl |
0.686 |
0.723 |
-0.388 |
|
(4.47)** |
(3.79)** |
(0.62) | |
|
x2 |
-3.781 |
-3.809 | |
|
(25.66)** |
(22.21)** | ||
|
x3 |
4.107 |
57.701 | |
|
(0.33) |
(1.84) | ||
|
x4 |
21.560 | ||
|
(1.86) | |||
|
Constant |
1.330 |
0.224 |
-45.005 |
|
(0.40) |
(0.05) |
(1.82) | |
|
Observations |
100 |
100 |
100 |
|
R-squared |
0.99 |
0.99 |
0.99 |
|
F test, x3=x4= |
0 |
1.78 | |
|
Prob > F |
0.174 | ||
|
Absolute value |
of t-statistics in parentheses | ||
|
* significant |
at 57. level |
; ** significant at 17. level | |
Run at 12:10:19, 18 Apr 2000
Using data from xydata.dta
Acknowledgments
Thanks to many Statalist users for bug reports and suggestions. Mead Over’s comments were especially useful.
References
Gallup, J. L. 1998. sg97: Formatting regression output for published tables. Stata Technical Bulletin 46: 28-30. Reprinted in Stata Technical Bulletin
Reprints, vol. 8, pp. 200-202.
--. 1999. sg97.1: Revision of outreg. Stata Technical Bulletin 49: 23. Reprinted in Stata Technical Bulletin Reprints, vol. 9, pp. 170-171.
sg153 Censored least absolute deviations estimator: CLAD
Dean Jolliffe, Economic Research Service, U.S. Department of Agriculture, [email protected]
Bohdan Krushelnytskyy, Czech Republic, [email protected]
Anastassia Semykina, Czech Republic, [email protected]
Abstract: The command clad for estimating Powell’s (1984) censored least absolute deviations estimator and bootstrap estimates
of its sampling variance is introduced and illustrated.
Keywords: censored least absolute value deviations estimator, bootstrap.
More intriguing information
1. A parametric approach to the estimation of cointegration vectors in panel data2. Centre for Longitudinal Studies
3. The name is absent
4. Visual Perception of Humanoid Movement
5. The name is absent
6. Investment in Next Generation Networks and the Role of Regulation: A Real Option Approach
7. TOMOGRAPHIC IMAGE RECONSTRUCTION OF FAN-BEAM PROJECTIONS WITH EQUIDISTANT DETECTORS USING PARTIALLY CONNECTED NEURAL NETWORKS
8. The name is absent
9. FUTURE TRADE RESEARCH AREAS THAT MATTER TO DEVELOPING COUNTRY POLICYMAKERS
10. The name is absent